{ "data": { "startData": {}, "resultData": { "runData": { "When clicking \"Test workflow\"": [ { "startTime": 1747344001828, "executionIndex": 0, "source": [], "hints": [], "executionTime": 0, "executionStatus": "success", "data": { "main": [ [ { "json": {}, "pairedItem": { "item": 0 } } ] ] } } ], "Simple Memory": [ { "startTime": 1747344001833, "executionTime": 0, "executionIndex": 2, "executionStatus": "success", "source": [ { "previousNode": "AI Agent", "previousNodeRun": 0 } ], "data": { "ai_memory": [ [ { "json": { "action": "loadMemoryVariables", "chatHistory": [ "json array" ] } } ] ] }, "inputOverride": { "ai_memory": [ [ { "json": { "action": "loadMemoryVariables", "values": { "input": "What time is my check-in?", "system_message": "You are a helpful assistant", "formatting_instructions": "IMPORTANT: For your response to user, you MUST use the `format_final_json_response` tool with your complete answer formatted according to the required schema. 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Only use this tool once you are ready to provide your final answer." } } } ] ] } }, { "startTime": 1747344007006, "executionTime": 0, "executionIndex": 16, "executionStatus": "success", "source": [ { "previousNode": "AI Agent1", "previousNodeRun": 0 } ], "data": { "ai_memory": [ [ { "json": { "action": "saveContext", "chatHistory": [ "json array" ] } } ] ] }, "inputOverride": { "ai_memory": [ [ { "json": { "action": "saveContext", "input": { "input": "What time is my check-in?", "system_message": "You are a helpful assistant", "formatting_instructions": "IMPORTANT: For your response to user, you MUST use the `format_final_json_response` tool with your complete answer formatted according to the required schema. Do not attempt to format the JSON manually - always use this tool. Your response will be rejected if it is not properly formatted through this tool. 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Please refer to your booking confirmation or contact the relevant service provider for this information." } } ] ] }, "metadata": { "subRun": [ { "node": "Auto-fixing Output Parser", "runIndex": 0 }, { "node": "Auto-fixing Output Parser", "runIndex": 1 } ] } }, { "startTime": 1747344004839, "executionTime": 2166, "executionIndex": 12, "executionStatus": "success", "source": [ { "previousNode": "AI Agent1", "previousNodeRun": 0 } ], "data": { "ai_outputParser": [ [ { "json": { "action": "parse", "response": { "object": true } } } ] ] }, "inputOverride": { "ai_outputParser": [ [ { "json": { "action": "parse", "text": "To provide you with the correct check-in time, I would need more information about your booking. 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Please refer to your booking confirmation or contact the relevant service provider for this information." } } ] ] }, "metadata": { "subRun": [ { "node": "Structured Output Parser", "runIndex": 0 }, { "node": "Structured Output Parser", "runIndex": 1 }, { "node": "Structured Output Parser", "runIndex": 2 }, { "node": "Structured Output Parser", "runIndex": 3 } ] }, "error": { "message": "Model output doesn't fit required format", "timestamp": 1747344002574, "name": "NodeOperationError", "description": "To continue the execution when this happens, change the 'On Error' parameter in the root node's settings", "context": {}, "cause": { "level": "warning", "tags": { "packageName": "@n8n" } } } }, { "startTime": 1747344003837, "executionTime": 1, "executionIndex": 7, "executionStatus": "success", "source": [ { "previousNode": "Auto-fixing Output Parser", "previousNodeRun": 0 } ], "data": { "ai_outputParser": [ [ { "json": { "action": "parse", "response": { "object": true } } } ] ] }, "inputOverride": { "ai_outputParser": [ [ { "json": { "action": "parse", "text": "```json\n{\"output\":{\"resolution\":\"Please check your booking confirmation for your check-in time.\",\"reasoning\":\"The customer requested information about their check-in time, which is typically included in their booking confirmation. Therefore, directing them to that document is the best course of action.\"}}\n```" } } ] ] } }, { "startTime": 1747344004839, "executionTime": 0, "executionIndex": 13, "executionStatus": "error", "source": [ { "previousNode": "Auto-fixing Output Parser", "previousNodeRun": 0 } ], "data": { "ai_outputParser": [ [ { "json": { "action": "parse", "text": "To provide you with the correct check-in time, I would need more information about your booking. Please provide details such as the hotel name, booking reference number, or any other relevant information." } } ] ] }, "inputOverride": { "ai_outputParser": [ [ { "json": { "action": "parse", "text": "To provide you with the correct check-in time, I would need more information about your booking. Please provide details such as the hotel name, booking reference number, or any other relevant information." } } ] ] }, "error": { "message": "Model output doesn't fit required format", "timestamp": 1747344004839, "name": "NodeOperationError", "description": "To continue the execution when this happens, change the 'On Error' parameter in the root node's settings", "context": {}, "cause": { "level": "warning", "tags": { "packageName": "@n8n" } } } }, { "startTime": 1747344007005, "executionTime": 0, "executionIndex": 15, "executionStatus": "success", "source": [ { "previousNode": "Auto-fixing Output Parser", "previousNodeRun": 0 } ], "data": { "ai_outputParser": [ [ { "json": { "action": "parse", "response": { "object": true } } } ] ] }, "inputOverride": { "ai_outputParser": [ [ { "json": { "action": "parse", "text": "```json\n{\n \"output\": {\n \"resolution\": \"Please provide details such as the hotel name, booking reference number, or any other relevant information to assist with your check-in time.\",\n \"reasoning\": \"The customer did not provide sufficient information regarding their booking, which is needed to determine the correct check-in time. Requesting additional details ensures that we can offer accurate assistance.\"\n }\n}\n```" } } ] ] } } ], "OpenAI Chat Model1": [ { "startTime": 1747344002576, "executionTime": 1261, "executionIndex": 6, "executionStatus": "success", "source": [ { "previousNode": "Auto-fixing Output Parser", "previousNodeRun": 0 } ], "data": { "ai_languageModel": [ [ { "json": { "response": { "object": true }, "tokenUsage": { "object": true } } } ] ] }, "inputOverride": { "ai_languageModel": [ [ { "json": { "messages": [ "Human: Instructions:\n--------------\nYou must format your output as a JSON value that adheres to a given \"JSON Schema\" instance.\n\n\"JSON Schema\" is a declarative language that allows you to annotate and validate JSON documents.\n\nFor example, the example \"JSON Schema\" instance {{\"properties\": {{\"foo\": {{\"description\": \"a list of test words\", \"type\": \"array\", \"items\": {{\"type\": \"string\"}}}}}}, \"required\": [\"foo\"]}}}}\nwould match an object with one required property, \"foo\". The \"type\" property specifies \"foo\" must be an \"array\", and the \"description\" property semantically describes it as \"a list of test words\". The items within \"foo\" must be strings.\nThus, the object {{\"foo\": [\"bar\", \"baz\"]}} is a well-formatted instance of this example \"JSON Schema\". The object {{\"properties\": {{\"foo\": [\"bar\", \"baz\"]}}}} is not well-formatted.\n\nYour output will be parsed and type-checked according to the provided schema instance, so make sure all fields in your output match the schema exactly and there are no trailing commas!\n\nHere is the JSON Schema instance your output must adhere to. Include the enclosing markdown codeblock:\n```json\n{\"type\":\"object\",\"properties\":{\"output\":{\"type\":\"object\",\"properties\":{\"resolution\":{\"type\":\"string\",\"description\":\"The customer-facing resolution or response that should be communicated to the customer\"},\"reasoning\":{\"type\":\"string\",\"description\":\"Detailed explanation of the solution and reasoning for internal use\"}},\"required\":[\"resolution\",\"reasoning\"],\"additionalProperties\":{}}},\"additionalProperties\":false,\"$schema\":\"http://json-schema.org/draft-07/schema#\"}\n```\n\n--------------\nCompletion:\n--------------\nI don't have access to your personal information, including your check-in time. Please refer to your booking confirmation or contact the relevant service provider for this information.\n--------------\n\nAbove, the Completion did not satisfy the constraints given in the Instructions.\nError:\n--------------\nUnexpected token 'I', \"I don't ha\"... is not valid JSON\n\nTroubleshooting URL: https://js.langchain.com/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE/\n\n--------------\n\nPlease try again. Please only respond with an answer that satisfies the constraints laid out in the Instructions:" ], "estimatedTokens": 471, "options": { "openai_api_key": { "lc": 1, "type": "secret", "id": [ "OPENAI_API_KEY" ] }, "model": "gpt-4o-mini", "timeout": 60000, "max_retries": 2, "configuration": { "baseURL": "https://api.openai.com/v1" }, "model_kwargs": {} } } } ] ] }, "metadata": { "subRun": [ { "node": "OpenAI Chat Model1", "runIndex": 0 }, { "node": "OpenAI Chat Model1", "runIndex": 1 } ] } }, { "startTime": 1747344004841, "executionTime": 2164, "executionIndex": 14, "executionStatus": "success", "source": [ { "previousNode": "Auto-fixing Output Parser", "previousNodeRun": 0 } ], "data": { "ai_languageModel": [ [ { "json": { "response": { "object": true }, "tokenUsage": { "object": true } } } ] ] }, "inputOverride": { "ai_languageModel": [ [ { "json": { "messages": [ "Human: Instructions:\n--------------\nYou must format your output as a JSON value that adheres to a given \"JSON Schema\" instance.\n\n\"JSON Schema\" is a declarative language that allows you to annotate and validate JSON documents.\n\nFor example, the example \"JSON Schema\" instance {{\"properties\": {{\"foo\": {{\"description\": \"a list of test words\", \"type\": \"array\", \"items\": {{\"type\": \"string\"}}}}}}, \"required\": [\"foo\"]}}}}\nwould match an object with one required property, \"foo\". The \"type\" property specifies \"foo\" must be an \"array\", and the \"description\" property semantically describes it as \"a list of test words\". The items within \"foo\" must be strings.\nThus, the object {{\"foo\": [\"bar\", \"baz\"]}} is a well-formatted instance of this example \"JSON Schema\". The object {{\"properties\": {{\"foo\": [\"bar\", \"baz\"]}}}} is not well-formatted.\n\nYour output will be parsed and type-checked according to the provided schema instance, so make sure all fields in your output match the schema exactly and there are no trailing commas!\n\nHere is the JSON Schema instance your output must adhere to. Include the enclosing markdown codeblock:\n```json\n{\"type\":\"object\",\"properties\":{\"output\":{\"type\":\"object\",\"properties\":{\"resolution\":{\"type\":\"string\",\"description\":\"The customer-facing resolution or response that should be communicated to the customer\"},\"reasoning\":{\"type\":\"string\",\"description\":\"Detailed explanation of the solution and reasoning for internal use\"}},\"required\":[\"resolution\",\"reasoning\"],\"additionalProperties\":{}}},\"additionalProperties\":false,\"$schema\":\"http://json-schema.org/draft-07/schema#\"}\n```\n\n--------------\nCompletion:\n--------------\nTo provide you with the correct check-in time, I would need more information about your booking. Please provide details such as the hotel name, booking reference number, or any other relevant information.\n--------------\n\nAbove, the Completion did not satisfy the constraints given in the Instructions.\nError:\n--------------\nUnexpected token 'T', \"To provide\"... is not valid JSON\n\nTroubleshooting URL: https://js.langchain.com/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE/\n\n--------------\n\nPlease try again. Please only respond with an answer that satisfies the constraints laid out in the Instructions:" ], "estimatedTokens": 477, "options": { "openai_api_key": { "lc": 1, "type": "secret", "id": [ "OPENAI_API_KEY" ] }, "model": "gpt-4o-mini", "timeout": 60000, "max_retries": 2, "configuration": { "baseURL": "https://api.openai.com/v1" }, "model_kwargs": {} } } } ] ] } } ], "AI Agent": [ { "startTime": 1747344001828, "executionIndex": 1, "source": [ { "previousNode": "When clicking \"Test workflow\"" } ], "hints": [], "executionTime": 2011, "executionStatus": "success", "data": { "main": [ [ { "json": { "output": { "object": true } }, "pairedItem": { "item": 0 } } ] ] } } ], "AI Agent1": [ { "startTime": 1747344003839, "executionIndex": 9, "source": [ { "previousNode": "AI Agent" } ], "hints": [], "executionTime": 3167, "executionStatus": "success", "data": { "main": [ [ { "json": { "output": { "object": true } }, "pairedItem": { "item": 0 } } ] ] } } ] }, "lastNodeExecuted": "AI Agent1" }, "executionData": { "contextData": {}, "nodeExecutionStack": [], "metadata": { "Simple Memory": [ { "subRun": [ { "node": "Simple Memory", "runIndex": 0 }, { "node": "Simple Memory", "runIndex": 1 }, { "node": "Simple Memory", "runIndex": 2 }, { "node": "Simple Memory", "runIndex": 3 } ] } ], "OpenAI Chat Model": [ { "subRun": [ { "node": "OpenAI Chat Model", "runIndex": 0 }, { "node": "OpenAI Chat Model", "runIndex": 1 } ] } ], "Structured Output Parser": [ { "subRun": [ { "node": "Structured Output Parser", "runIndex": 0 }, { "node": "Structured Output Parser", "runIndex": 1 }, { "node": "Structured Output Parser", "runIndex": 2 }, { "node": "Structured Output Parser", "runIndex": 3 } ] } ], "OpenAI Chat Model1": [ { "subRun": [ { "node": "OpenAI Chat Model1", "runIndex": 0 }, { "node": "OpenAI Chat Model1", "runIndex": 1 } ] } ], "Auto-fixing Output Parser": [ { "subRun": [ { "node": "Auto-fixing Output Parser", "runIndex": 0 }, { "node": "Auto-fixing Output Parser", "runIndex": 1 } ] } ] }, "waitingExecution": {}, "waitingExecutionSource": {} } }, "mode": "cli", "startedAt": "2025-05-15T21:20:01.828Z", "stoppedAt": "2025-05-15T21:20:07.006Z", "status": "running", "finished": true }